Literature DB >> 31368477

PyMethylProcess-convenient high-throughput preprocessing workflow for DNA methylation data.

Joshua J Levy1,2, Alexander J Titus1, Lucas A Salas1, Brock C Christensen1,3.   

Abstract

SUMMARY: Performing highly parallelized preprocessing of methylation array data using Python can accelerate data preparation for downstream methylation analyses, including large scale production-ready machine learning pipelines. We present a highly reproducible, scalable pipeline (PyMethylProcess) that can be quickly set-up and deployed through Docker and PIP.
AVAILABILITY AND IMPLEMENTATION: Project Home Page: https://github.com/Christensen-Lab-Dartmouth/PyMethylProcess. Available on PyPI (pymethylprocess), Docker (joshualevy44/pymethylprocess). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Year:  2019        PMID: 31368477      PMCID: PMC6954637          DOI: 10.1093/bioinformatics/btz594

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


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Authors:  Lucas A Salas; Devin C Koestler; Rondi A Butler; Helen M Hansen; John K Wiencke; Karl T Kelsey; Brock C Christensen
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